EFFECTIVENESS OF MOBILE APPLICATION(EASYDM) FOR DIABETES CONTROL FOCUSING ON DIABETES MEDICATION ADHERENCE AMONG UNCONTROLLED DIABETES PATIENTS ATTENDING PRIMARY CARE UNITS IN BANGKOK THAILAND : RANDOMIZED CONTROLLED TRIA
Phase 2
Completed
- Conditions
- ncontrolled diabetes may result from several factors including medication not adhered by patients. Medication adherence plays important role in optimizing glycemic level which delays diabetic complicmobile application,medication adherence,diabetes,primary health care,Thailand
- Registration Number
- TCTR20190509002
- Lead Sponsor
- THE 90 TH Anniversary of Chulalongkorn University Scholarship
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 186
Inclusion Criteria
Inclusion criteria are-
Diagnosed type 2 diabetics both sexes
Age between 45-65 years (Papier et al., 2016)
HbA1C level > 7% at last assessment within 3 months (Castensøe-Seidenfaden et al., 2018)
Morisky Medication Adherence Score less than 6 (Butt et al., 2016)
Diabetes patients with same number of main medications on (e.g. Metformin, others, etc)
Having smart phones with Android/iOS software compatible with (EASYDM) apps (Ristau, Yang, & White, 2013)
Offering consent and agreed to participate
Exclusion Criteria
Exclusion criteria are-
Severe cardiac, renal functions, hepatic, cognitive or psychological impairments (Bergenstal et al., 2019)
Those on current insulin injection
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Diabetes medication Adherence 1. Medication Adherence Scores 2. Number of pills 3 months Descriptive statistics for baseline characteristics will be used (t-tests, chi square tests). Intent
- Secondary Outcome Measures
Name Time Method HbA1C before and after intervention within 3 months HbA1C level will be the secondary outcome (Clifford et al., 2014) which will be Expressed in percen